Hybrid Azure Data Engineer — PostgreSQL & Python Pipelines

Onetree; Ciudad de México; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work flexibility

Collaborative environment with senior技

Professional growth opportunities

Descripción de la vacante

Onetree is looking for a Senior Data Engineer in Mexico City to drive data analysis, modeling, and the development of data-intensive applications on Azure. You will work with stakeholders to deliver scalable analytics solutions.

You will design and optimize PostgreSQL data structures, build robust data pipelines with Python, Celery, and Redis, and deploy workloads on Azure with a focus on performance, cost, and observability.

Formación

• Senior-level data engineer with hands-on data modeling experience.
• Strong PostgreSQL performance tuning and index design.
• Proficient Python/Django development experience.
• Experience with Celery and Redis for async data processing.

Responsabilidades

• Analyze, model, and transform data to support decision-making with analytics solutions.
• Design and optimize PostgreSQL data structures, including indexing and schema evolution.
• Develop and maintain data pipelines using Python, Celery, and Redis.
• Deploy, monitor, and optimize data workloads on Azure with cost efficiency and reliability.

Conocimientos

English (Intermediate)

Python

PostgreSQL

Django

Herramientas

Celery

Redis

Microsoft Fabric

Azure

Descripción del empleo

Onetree is looking for a Senior Data Engineer in Mexico City to drive data analysis, modeling, and the development of data-intensive applications on Azure. You will work with stakeholders to deliver scalable analytics solutions.

You will design and optimize PostgreSQL data structures, build robust data pipelines with Python, Celery, and Redis, and deploy workloads on Azure with a focus on performance, cost, and observability.